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Association of small vessel disease progression with longitudinal cognitive decline across mild cognitive impairment.
J Alzheimers Dis
January 2025
Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Background: Cerebral small vessel disease (SVD) is the leading cause of vascular dementia. However, it is unclear whether the individual SVD or global SVD progression correlates with cognitive decline across mild cognitive impairment (MCI) subjects.
Objective: To investigate the association of small vessel disease progression with longitudinal cognitive decline across MCI.
Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma.
Sci Rep
December 2024
Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.
View Article and Find Full Text PDFESI-GAL: EEG source imaging-based trajectory estimation for grasp and lift task.
Comput Biol Med
December 2024
Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India; Bharti School of Telecommunication, Indian Institute of Technology Delhi, New Delhi 110016, India; Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi 110016, India. Electronic address:
Background: Electroencephalogram (EEG) signals-based motor kinematics prediction (MKP) has been an active area of research to develop Brain-computer interface (BCI) systems such as exosuits, prostheses, and rehabilitation devices. However, EEG source imaging (ESI) based kinematics prediction is sparsely explored in the literature.
Method: In this study, pre-movement EEG features are utilized to predict three-dimensional (3D) hand kinematics for the grasp-and-lift motor task.
Role of artificial intelligence in treatment planning and outcome prediction of jaw corrective surgeries by using 3-D imaging-a systematic review.
Oral Surg Oral Med Oral Pathol Oral Radiol
October 2024
Department of Translational Medicine, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Objective: Artificial intelligence (AI) has been increasingly utilized in diagnosis of skeletal deformities, while its role in treatment planning and outcome prediction of jaw corrective surgeries with 3-dimensional (3D) imaging remains underexplored.
Methods: The comprehensive search was done in PubMed, Google scholar, Semantic scholar and Cochrane Library between January 2000 and May 2024. Inclusion criteria encompassed studies on AI applications in treatment planning and outcome prediction for jaw corrective surgeries using 3D imaging.
Automated Bone Cancer Detection Using Deep Learning on X-Ray Images.
Surg Innov
December 2024
Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.
In recent days, bone cancer is a life-threatening health issue that can lead to death. However, physicians use CT-scan, X-rays, or MRI images to recognize bone cancer, but still require techniques to increase precision and reduce human labor. These methods face challenges such as high costs, time consumption, and the risk of misdiagnosis due to the complexity of bone tumor appearances.
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